Senior Software Engineering Manager - Saas
Listed on 2026-07-27
-
Software Development
AI Engineer (Applied/Software), Software Architect, Software Project Mgr/ Lead
Location: Montreal
Job Number: J Job Type: Full Time Job Category:
Information Technology Salary:
Open
Senior Software Engineering Manager - Saas start-up
Manager of Engineering
Full Time | Montréal, QC, CA (Hybrid) | Development / Engineering |
Reports to:
CTO
Salary range: CAD $160,000 to $195,000 annually, eligible for bonus programs when introduced
About the company
This is a SaaS start-up with a live research data management and analysis platform that brings together multi-modal (imaging, genetics, behavioral, and biosample) data for large-scale studies. Thousands of researchers across the globe rely on our platform today, and we are rapidly iterating and improving to push the boundaries of what is possible in research data management.
We live to innovate, and empower scientists to focus on the science, not the technology, leading to a faster time to science and cure.
Our team is incredibly diverse both by background and expertise, and that is not by accident. We believe that the most creative and powerful solutions come from different ways of thinking about the world. You will be working in an inspiring ecosystem alongside world-renowned professionals in medicine, physics, engineering, imaging, epidemiology, software development, and genetics. We thrive on empowering our colleagues to be thought leaders and innovate fresh new solutions for an exciting and rapidly changing field.
About the Role
The team is hiring a Manager of Engineering to lead the engineering group that builds and operates our research data management platform. Reporting to the CTO, you will lead how the platform is designed, built and delivered, and you will be the senior technical authority for the engineering group day to day.
This is a broad, high-ownership role. You will contribute at the level of architecture and direction as well as run delivery. You will stay technical enough to hold the respect of strong developers and to step into hard problems yourself, while working to ensure the health and scalability of the platform.
AI is not optional at our company: we expect every leader on this team to have already internalized AI and to model that for the organization. So the person we’re looking for will bring demonstrated, hands-on fluency with AI: both in how they work (AI-assisted development, tooling, code review) and in what they build (integrating AI capabilities into the platform.)
Set the standard for AI-native engineering practice across the development team: agentic workflows, LLM-assisted development and review, copilot tooling and AI-powered engineering automation as baseline expectations, not optional habits. You are expected to model this yourself, continuously evaluate emerging AI engineering tools and ensure their effective adoption across the organization.
We are looking for someone who can operate as the most senior technical person in the room. You are capable of representing engineering to clients, partners and leadership, and running the development group with real autonomy and sound judgment.
What You Will Do
Organizational and Technical Leadership
• Act as the senior technical authority for day-to-day development decisions and as a trusted partner to the CTO on strategy and vision.
• Lead the development group end to end and take ownership for the technical direction of the company’s platform in close collaboration with the CTO.
• Set the standard for AI-native engineering practice across the development team: agentic workflows, LLM-assisted development and review, and copilot tooling as baseline expectations, not optional habits. You are expected to model this yourself and hold the bar for the team.
• See around corners on technology choices, anticipating scaling and integration needs before they become blockers.
• Own standards for code quality, testing and documentation across the development teams.
Team Leadership and People Management
• Lead, grow, mentor and motivate team members.
• Run one-on-ones, set clear goals, give regular feedback and own performance management.
• Foster an environment of accountability and shipping high-quality work.
• Resolve conflict, unblock the team and protect their focus.
Delivery and Program…
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